Comparison of PyTorch, TensorFlow, XGBoost, LightGBM, and CatBoost in industrial data analysis. The article discusses the use of PyTorch in machine failure prediction, time series data analysis, and compares it with other tools in terms of flexibility, performance, and applications.

Comparison of TensorFlow, XGBoost, LightGBM, and CatBoost algorithms in fault detection in MES systems. Practical applications, time-series and tabular data analysis, and performance evaluation in terms of speed and computational resources.